Last updated on October 11, 2025
In prorgramming, there are hierarchical structure in object, interface and class, and in the prime model (physics ai) and physics pixels, there can be exactly the same hierarchical structure for object, interface and class, although the meaning of interface in programming is completely different from in the prime model (physics ai) and physics pixels.
In the prime model (physics ai) and physics pixels, there can be not only the specific dataset for objects but also the specific data sets for classes of objects and interfaces, in which objects dataset includes all objects in the visual flow and classes dataset include all classes of all objects and interfaces dataset include all interfaces in the visual.
Object, interface and class may have different hierarchy structures according to different applications of physics ai. For example, in a medical detection application, a human body object may include more than thousands of subobjects like skin, heart, lung, etc, but in a autodriving application, a human may be labeled as one object which has no subobject. And it is the same for the class of object and the interface.
With finer or deeper structures, AI may understand or approximate the real physics world deeper and more accurately.
PS(11/Oct):
class may be not only for objects but also for interfaces, which means that class dataset includes the classes of objects and the classes of interfaces. For example, a interface class may be the interface class between solid and liquid, and a subclass of the interface class could be the interface class between glass and water, etc..
an interface (or interface instance) can be in hierarchy structure. For example, an interface is between an object of a moving car and another object of the outdoor space, in which the interface may include several subinterfaces which includes the interfaces of front, left side, right side, top and back of the car which may have different parameters.
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